Data Science Intern - Summer 2027

Department:

Job Description:

At The Mutual Group, we’re building a modern analytics organization that plays a critical role in shaping business strategy and driving profitable underwriting growth.  As a Data Science Intern, you’ll gain hands-on experience applying analytics to real property & casualty insurance business problems. Working alongside our actuarial and data teams, the intern will support model monitoring, exploratory analysis, and documentation while building a foundation in predictive modeling, insurance fundamentals, and modern analytics workflows. This is an applied, mentorship-driven experience designed to develop both technical and professional skills, as well as introduce students to data science career paths in insurance.

Work Arrangement:

• Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in‑office days.

Accountabilities:

Core Analytics & Data Science Work

• Support exploratory data analysis for pricing, underwriting, claims, or operational analytics use cases.

• Build or enhance repeatable reporting outputs such as model monitoring summaries, rating variable distributions, actual-versus-expected analysis, or lift-chart support.

• Help document modeling datasets, feature logic, assumptions, limitations, and data lineage.

• Contribute to code cleanup, reusable functions, testing scripts, and version-controlled project organization.

Business & Insurance Learning

• Learn foundational insurance concepts including exposure, premium, claims frequency, claims severity, loss ratio, rate adequacy, and underwriting risk selection.

• Translate analytical findings into business-friendly summaries for actuarial, underwriting, claims, or leadership audiences.

• Shadow team members to understand how model outputs are consumed in pricing, profitability analysis, underwriting workflows, and management reporting.

• Prepare a capstone presentation connecting technical work to business value – such as improved pricing insight, greater efficiency, better monitoring, or clearer documentation.

Qualifications:

• Currently pursuing an undergraduate (junior/senior) or graduate degree in data science, statistics, mathematics, actuarial science, analytics, economics, or a related field. 

• Comfort with at least one programming language, preferably Python or R. 

• Basic SQL skills, or the ability and willingness to learn SQL quickly. 

• Coursework or project experience involving statistics, regression, machine learning, data visualization, or applied analytics. 

• Strong written and verbal communication skills and an interest in applying analytics to real business problems. 

• Interest in insurance, financial services, risk analytics, or business decision support. 

• Strong analytical thinking and quantitative skills.

• Exposure to version control (e.g., Git), data visualization tools (e.g., Tableau), or model monitoring concepts. 

• Curiosity, reliability, and a collaborative, feedback-oriented mindset. 

Why Join The Mutual Group:

• Gain meaningful, real-world data science experience.

• Work alongside experienced data scientists, data engineers, and credentialed actuaries who are invested in your development.

• Contribute to projects that have a direct impact on business decisions.

• Build technical, analytical, and professional skills that will prepare you for a successful data science career.

• Experience a collaborative culture that values learning, collaboration, innovation, and professional growth.

Perks of working at The Mutual Group:

Competitive Pay: Interns earn hourly wages while gaining hands-on experience. The hourly pay range for this internship is $23-$25, commensurate with experience.

Mentorship Programs: Pairing interns with experienced professionals. 

Networking Events: Intern mixers, speaker series, or meet-and-greets with executives. 

Volunteer Opportunities: Organized events for community service.

Real projects: Interns contribute to meaningful work, not just observe from the sidelines. 

Free Lunch: On-site cafeteria available Tuesday-Thursday.

Balanced Schedule: A 39-hour work week designed to support productivity and well-being. 

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

• Competitive base salary plus incentive plans for eligible team members
• 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
• Free basic life and AD&D, long-term disability and short-term disability insurance
• Medical, dental and vision plans to meet your unique healthcare needs
• Wellness incentives
• Generous time off program that includes personal, holiday and volunteer paid time off
• Flexible work schedules and hybrid/remote options for eligible positions
• Educational assistance

Bot-Filtering Mechanism

The Mutual Group uses a bot-filtering mechanism as part of its recruiting and hiring process. As a result, automated job applications or submissions may be rejected.

Equal Opportunity Employer

The Mutual Group is an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

• Know Your Rights: Workplace Discrimination is Illegal
• Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact 

Talent@themutualgroup.com

Employment Verification

The Mutual Group participates in the E-Verify program and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected from employment discrimination based on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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